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Added 1 min ago
2027 mechanical Engineer Intern- Redondo Beach CA
Northrop Grumman
Redondo Beach, CA
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 1 min ago
Senior Consultant, Integrations Specialist (IP.21, QTS, Coupa)
BizFirst
Remote, United States
…Consultant, Integrations Specialist to lead supplementary data source integration workstreams for enterprise clients. This is a hands-on contract role for a data engineer with 5+ years of…
Added 2 mins ago
Early Career R&D Systems Electrical Engineer - Nuclear Deterrence Systems, NM/CA, Onsite
Sandia National Laboratories
Livermore, CA
…contribute across the full lifecycle of complex electrical systems and subsystems, from requirements and design maturation to integration, testing, qualification, production realization,…
Added 2 mins ago
Senior/Principal R&D Systems Electrical Engineer - Nuclear Deterrence Systems, NM/CA, Onsite
Sandia National Laboratories
Livermore, CA
…contribute across the full lifecycle of complex electrical systems and subsystems, from requirements and design maturation to integration, testing, qualification, production realization,…
Added 2 mins ago
Sr Software Engineer--Routing Platform & Infrastructure
Cisco
Milpitas, CA
…contributing to the design and development of scalable software systems for high-speed networking platforms, coherent optical transceivers, PHY devices, and next-generation NPU-based…
Added 2 mins ago
Sr Associate, Software Engineer
L3Harris
Carlsbad, CA
…cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio…
Added 2 mins ago
Staff Product Engineer, Opto-Mechanical Modules
Google
Fremont, CA
12 years of industry experience specializing in product engineering or module integration for augmented reality /virtual reality (AR/VR) displays, optical engines, or high-precision…
Added 2 mins ago
Staff Semiconductor Wet Chemical Process Engineer, Raxium
Google
Fremont, CA
Collaborate with the Integration team to develop new process capabilities that address new design requirements, build systems and methodologies to drive process stability and control for…
Added 2 mins ago
Senior Full-Custom Silicon Analog Design Engineer, Raxium
Google
Fremont, CA
Share Senior Full-Custom Silicon Analog Design Engineer, Raxium
Added 2 mins ago
Image Sensor Engineer
Google
Mountain View, CA
2 years of experience working in complementary metal-oxide-semiconductor (CMOS) imaging/electro optical systems.
Added 2 mins ago
Photonic Engineer, Platforms Infrastructure
Google
Sunnyvale, CA
…cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing…
Added 2 mins ago
Hardware/Software Codesign and Performance Engineer, Inference
Google
Sunnyvale, CA
…designs, with a specific focus on TPU architecture and its integration within AI/ML-driven…
Added 2 mins ago
Principal Solutions Architect, Streaming & AdTech-Xumo
Comcast
Irvine, CA
…engineers and technical leaders, and drive alignment across complex systems while balancing technical excellence with business…
Added 2 mins ago
Senior Staff Data Platform Engineer - Data Access Team
ServiceNow, Inc.
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 mins ago
O
Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Sacramento, CA
- $104,600 to $264,100 USD / year
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest…
Added 2 mins ago
Genesys Cloud Access Management
Humana
Sacramento, CA
…and customer experience strategies while ensuring seamless integration with existing IT and telecommunications infrastructure. Work assignments are varied and frequently require the…
Added 2 mins ago
Application Engineer - DevOps & Engineering Tools
RTX Corporation
sacramento, CA
We are seeking an experienced Application Engineer - DevOps & Engineering Tools to join our agile team! In this role you will deploy, administer, and support new and existing…
Added 2 mins ago
System Administrator Expeditionary Systems (OpAI)
SAIC
San Diego, CA
SAIC is seeking a highly experienced System Administrator Expeditionary Systems (OpAI) to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits,…
Added 2 mins ago
Staff Software Engineer, XR Ecosystem, AR/VR Multimedia and Datacommunication
Google
San Jose, CA · San Diego, CA
8 years of experience in systems integration.
Added 2 mins ago
JP
Assistant Principal – Jr. High School - (2027-2028)
Joliet Public Schools District 86
JOLIET, IL
- From $83,880 USD / year
Strong background in core content with experience with multi-tiered systems of support and data Analysis.
Added 4 mins ago
Sr Business Integration Analyst EDI
Connection
Merrimack, NH
…and issues for management review or approval, the Sr Business Integration Analyst manages project requirements, timelines, and technical integrations from various platforms external to the…
Added 6 mins ago
A
Mechanical Design Engineer
Actalent
Pittsburgh, PA
- $95 to $110 USD / hour
…short-term surge in engineering activities across multiple autonomy integration programs. These engineers will play a key role in designing and integrating autonomous vehicle hardware onto…
Added 6 mins ago
A
Software Quality Assurance Engineer
Actalent
Houston, TX
- $55 to $80 USD / hour
Job Title: Software Quality Assurance EngineerJob DescriptionThe Software Quality Assurance Engineer develops, maintains, and continuously improves software quality assurance plans,…
Added 8 mins ago
Software Engineer - Stack (AWS, Java, JavaScript, TypeScript)
Capital One
McLean, VA
…deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the…
Added 8 mins ago
Integration Engineer 4 (Email / Proofpoint)
Capital One
McLean, VA · Richmond, VA
McLean, VA: $164,800 - $188,100 for Integration Engineer 4

Deloitte

Google AI Architect

Boston, MA, United States

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Job details

Experience: 6+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
Posting language: English
Posted: Aug 8, 2026

Original job description

Google AI Architect/AI and Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 12-20-26

Work you'll do:

Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini; optimize for scalability, reliability, security, and cost.
Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool/function calling, safety policies, Vector Search, evaluation); implement deployment, inference optimization, and monitoring.
Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability.
Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.
Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce application and agentic design patterns.
Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails.

Responsibilities include:

Architect and Design: Design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.
Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.
Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
Security & Governance: Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.
Design Patterns: Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.

Required Qualifications

Bachelor's degree in Computer Science, Engineering or a related technical field.
6+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
5+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations in production.
4+ years designing and implementing Google Cloud networks, security controls, and landing zones using Terraform.
2+ years building and operating containerized workloads on GKE (autoscaling, ingress, monitoring/observability).
2+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.
3+ years executing migration or modernization programs to Google Cloud (rehost, replatform, refactor).
2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ years' production deployment (e.g. RAG with Vertex AI Search/Vector Search, prompt design, safety policies, observability).
Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
Experience implementing multiple AI solutions in a professional, real-world environment.
Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
Familiarity with various hyperscaler tools and services.
Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred Qualifications:

Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Master's degree in technology-related discipline.
2+ years's leading high performance, results driven engineering teams delivering AI platforms or applications.
1+ year implementing LLMOps/MLOps using Vertex AI Pipelines and Cloud Build (or similar)

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000-$240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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